(Cat? OR feline) AND NOT dog?
Cat? W/5 behavior
(Cat? OR feline) AND traits
Cat AND charact*

This guide provides a more detailed description of the syntax that is supported along with examples.

This search box also supports the look-up of an IP.com Digital Signature (also referred to as Fingerprint); enter the 72-, 48-, or 32-character code to retrieve details of the associated file or submission.

Concept Search - What can I type?

For a concept search, you can enter phrases, sentences, or full paragraphs in English. For example, copy and paste the abstract of a patent application or paragraphs from an article.

Concept search eliminates the need for complex Boolean syntax to inform retrieval. Our Semantic Gist engine uses advanced cognitive semantic analysis to extract the meaning of data. This reduces the chances of missing valuable information, that may result from traditional keyword searching.

Publishing Venue

Country

Language

This is the abbreviated version, containing approximately
53% of the total text.

TITLE: Area state handling in smart buildings
Abstract:

Area state handling in smart buildings

Background:

Nowadays, we are living in the world where information is the most valuable thing. Users want to get as
much information as possible including raw and analyzed data. Sometimes, they want to get a notification
when the current state is not desired. Current smart home solutions do not provide information what the
state of a given place is. Based on the learning possibilities of neural network or pre-defined
exchangeable states, we can propose a system of handling simple area state based on Decision Support
Systems (DSS).
Summary:
Automatic detection of area type and related "states", like: kitchen -> [cooking, unused, flooded, too
humid, on fire]
The core of the proposal is:
1) Use data from sensors to deduce individual areas in monitored space (e.g.
house/office/warehouse/parking lot)
2) Classify each area to one of the predefined classes (e.g. kitchen/open space) OR request area to be
manually described (either by manual classification or by creating a new area type)
3) Provide customized per area type set of alerts/notifications and actions (they still can and quite likely
should be customized)
After relatively short period of time when the system deduce the areas and their type any smart building
system can reach good accuracy, reducing the otherwise lengthy and frustrating learning phase (this may
work as smart templates - one floor is similar to others etc.).
Description:
One should first unders...